人工神经网络板形板厚综合控制

THE COMPLEX CONTROL OF THE STRIP FLATNESS AND GAUGE USING ARTIFICIAL NEURAL NETWORK

提出一种自适应神经网络的方法，对板形板厚综合系统进行仿真研究。该控制方法适合处理多输入输出系统，并具有自组织、自适应和自学习能力。其控制效果优于传统的解耦ＰＩＤ控制。

An adaptive neural network method for complex control of strip flatness and gauge are proposed in this paper. This method is suit to multi-input and multi- output control system and has the ability Of selforganizing, adaptive and self learning. The simulation results showe that the method using neural network is better than traditional decouped PID method.